Summary: ✅ Founder, co-owner, and portfolio manager of a 6-figure private investment fund LLC ✅ Air Force veteran ✈️ ✅ I specialize in programming trading bots 🤖 (equities, options, futures, crypto), hooking them up to brokerage accounts, creating webpage dashboards for them, integrating them with databases, deploying them into the cloud, and related financial automation jobs to include copy-trading, back-testing, email/text alerts, TradingView / TrendSpider webhooks, order forms, order routing scripts, sentiment analysis (like on r/WallStreetBets), scanners/screeners, as well as web scrapers ✅ 100% independent, no agencies, no bureaucracy ✅ A truly full-stack, end-to-end solution for all things algorithmic trading / quant development ✅ Better value than what you might find on TradersPost.io, OptionAlpha.com, Composer.trade, Surmount.ai, SignalStack.com, WhisperTrades.com, TradeSteward.com, Capitalise.ai, MachineTrader.io, etc. Most of my clients pay under $20 in ongoing monthly fees to maintain their systems, with no limits on amount of capital invested or number of asset classes ✅ Joined Upwork in Nov 2021; obtained TOP RATED badge in Sep 2022; surpassed $100k earnings in Dec 2024; obtained TOP RATED PLUS badge in Jul 2025 Relevant education background: 📜 Dual M.S. Finance and M.S. Business Analytics, University of Dallas, 2023 📜 Certificate in Data Science, Southern Methodist University, 2024 Stock brokerage APIs: 🏛️ Alpaca 🦙 🏛️ Charles Schwab 🏊‍♂️ 🏛️ Etrade *️⃣ 🏛️ Lime Financial 🍋‍🟩 🏛️ Public.com 🗽 🏛️ SnapTrade 🫰 🏛️ TastyTrade 🍒 🏛️ TradeStation 🚉 🏛️ Tradier ↗️ 🏛️ Tradovate 🗠 Crypto APIs: 🪙 Coinbase 💠 🪙 Crypto.com 🦁 🪙 Gemini ♊ 🪙 Jupiter 🪐 🪙 Kraken 🦑 🪙 OKX ⬛ 🪙 Robinhood 🪶 Programming languages: 💻 Python 💻 HTML 💻 CSS 💻 Javascript 💻 Google Apps Script (Google Sheets) 💻 VBA (Microsoft Excel) 💻 SAS Trading languages (read-only proficiency): 📈 EasyLanguage 📈 Pinescript 📈 Thinkscript 3rd party market data services: 📊 DataBento 📊 Financial Modeling Prep 📊 Massive (formerly Polygon) 📊 TwelveData Web development frameworks: 🌐 Flask 🌐 Plotly Dash 🌐 Streamlit Databases: 💾 Firebase 💾 MongoDB 💾 SQLite Cloud platforms: ☁️ Fly.io ☁️ GCP (Google Cloud Platform) ☁️ Heroku (Salesforce) ☁️ Linode ☁️ Python Anywhere ☁️ Railway ☁️ Render Email/texting notification services: 🛎️ ClickSend / Sinch 🛎️ Discord 🛎️ Slack 🛎️ Telegram 🛎️ WhatsApp 🛎️ Twilio / SendGrid 🛎️ Twitter / X 🛎️ Vonage / Nexmo Software: ⭐ Power BI ⭐ Tableau Recent real-world jobs done for Upwork clients: 👏 Created a webpage which enables multiple users to ability to make their own bots with no code, includes parameters such as entry time, exit time, position sizing, number of legs, etc. 👏 Executed an iron condor strategy with multiple stop losses, profit takes, and futures hedging 👏 Taught a client with almost no prior Python knowledge how to program his own multileg options bot and implement it on a brokerage with error handling features in under 50 hours 👏 See the portfolio section on my profile for more Other relevant experience: 💯 I programmed my own algorithmic trading bot that I run daily using my own real money. I do not sell my own bot, but I will make yours FAQ: ❔Do you sell pre-made bots? ↪️ While I do sell pre-made templates, I don't sell pre-made strategies. If you want pre-made strategies, then head on over to collective2.com ❔How much money will my bot make? ↪️ Whether or not your bot makes money will depend largely on the requirements I am provided. I don't make any guarantees ❔Do you have experience with X? ↪️ While I am constantly adding to my skillset, here's a list of things that at this time I have no experience with: AFL/Amibroker, AWS, Azure, blockchain, Bloomberg, cTrader, DAS Trader, DeFi/DeX, Django, eSignal, FastAPI, FIX, FTMO, Interactive Brokers TWS, Keras (or any deep learning), MT4/MetaTrader 4, neural networks, NinjaTrader, NodeJS, Postgres, prop accounts (APEX, TopStep, etc.), React, TypeScript, Zapier ❔How much will this cost? ↪️ My project minimum is 5 hours / $500. My largest job has been for $40,000. My average job is $3000. All my earnings data is displayed publicly on my profile because I have nothing to hide. I've never had any feedback removed like other freelancers often do ❔How long will it take? ↪️ My average project takes 3-4 weeks. My smallest projects take 1 week. My largest projects take 2+ months ❔Can you build on my existing codebase? ↪️ I generally prefer to start from scratch, but this may be possible ❔When are you available to speak with me? ↪️ Please book a consultation if you wish to speak synchronously (phone/video calls). My typical hours are 10am-10pm CST, 7 days a week. I don't offer free synchronous time due to high invite volume. I will answer text messages usually within 24 hours

𝗜’𝗺 Siddharth, 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗔𝗜/𝗠𝗟 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 & 𝗜 𝗵𝗮𝘃𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗮𝗻𝗱 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. ✅ Tech Stack & Expertise ❇️ Artificial Intelligence & Machine Learning: AI Development, Deep Learning, TensorFlow, PyTorch, Artificial Neural Networks, Generative AI, Data Science, Natural Language Processing, NLP ❇️ LLM Engineering: OpenAI, ChatGPT API Integration, OpenAI API, LLaMA 3, Mistral, Mixtral, Fine-Tuning using LoRA, QLoRA, DPO, RLHF, PEFT, LLM Prompt Engineering, AI Model Training, Vector Databases like Pinecone, Weaviate, FAISS, RAG pipelines ❇️ AI Agent Development: AI Chatbots, AI Bots, AI Classifiers, Voice AI, AI Text-to-Speech, AI Speech-to-Text, Bot Development, Deepbrain AI, CrewAI, AutoGen ❇️ Python Development: Flask, FastAPI, Django, GPT APIs, Pytest, BeautifulSoup, Selenium ❇️ Data Automation: Web Scraping, Crawling, Data Mining, Parsing, Workflow Automation Bots ❇️ Fullstack Development: JavaScript, React.js, Node.js, Express.js, MongoDB ❇️ DevOps & Cloud: Docker, Kubernetes, Ansible, GitLab CI/CD, AWS, Azure, GCP, DigitalOcean ❇️ API Development & Integration: RESTful APIs, OpenAI Embeddings, Webhooks, Secure Microservices, Stripe, Binance, Telegram, BetFair, OddsJam, Interactive Brokers 📌 Services I Offer ⚙️ Web Scraping, Data Extraction, Crawling & Mining ⚙️ Machine Learning Model Development & AI Implementation ⚙️ Deep Learning & AI Model Training Prompt Engineering ⚙️ AI App Development: AI Chatbots, AI Bots, AI Agent Development ⚙️ Natural Language Processing, AI Classifier & Generative AI Applications ⚙️ Financial Dashboard Development, Market Analysis & Automation ⚙️ Interactive Brokers / Binance / Telegram Bot Development ⚙️ Data Cleaning, Processing, Analysis & Visualization ⚙️ AI Text-to-Speech, AI Speech-to-Text, Voice AI Integration ⚙️ Workflow Automation, Custom Scripts, and Python-based Optimization 🤖 LLM & AI Engineering ➜ AI Model Development: Artificial Neural Networks, TensorFlow, PyTorch, Generative AI Apps ➜ LLM Fine-Tuning: Persona bots, Q&A systems, Legal/Medical NLP models using LLaMA 3, Mistral ➜ Synthetic Data Generation & Machine Learning Model Training ➜ LLM Prompt Engineering & Evaluation Pipelines for benchmarking ➜ AI Model Integration with OpenAI API, ChatGPT API, and OpenAI Embeddings ➜ Cloud-based AI Deployment: SkyPilot on AWS, GCP, RunPod ➜ Inference Optimization: vLLM, TGI with quantized models (AWQ, GPTQ, GGUF, GGML) ➜ AI Agent Development with CrewAI, AutoGen, Deepgram, Amazon Polly 🔌 API Integration Specialist ✔️ AI Chatbot Integration with ChatGPT API, OpenAI API & Vector Databases ✔️ Secure RESTful Architecture, OAuth, Token Authentication, Rate Limiting ✔️ Real-time Data Processing, Webhooks, Cloud Functions ✔️ Build Scalable Microservices for AI App Development 🧠 AI Agent & LLM Skillset Voice AI Agents: CrewAI, AutoGen, Deepgram, Amazon Polly LLM Training & Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO Frameworks & Tools: HuggingFace AutoTrain, Axolotl, Unsloth AI Classifiers & NLP: AI Model Training Prompt Engineering, AI Model Development, RAG Pipelines Generative AI Applications: AI Chatbots, AI Bots, AI App Development, Automation Workflows 💡 Specialized in Python, AI Development, and Automation — I build scalable AI applications, automate workflows, and develop advanced Machine Learning & Deep Learning models with seamless API integration. I successfully deliver WEB SCRAPING, DATA MINING, and AUTOMATION solutions using Python, BeautifulSoup, Selenium, and Playwright, leveraging anti-detect browsers and proxies to bypass restrictions. For data analysis & Data Science projects, I use Pandas, NumPy, Scikit-Learn, and TensorFlow. 📈 If you’re looking for an expert in Python + AI/ML Development, Chatbot Development, AI Agent Development, and API Integration who delivers high-quality solutions fast — Please invite me. Thanks, Thanks Siddharth

I am experienced in developing automated trading algorithms specifically for day trading stocks , options, futures, optimizing performance, and ensuring seamless integration with the Interactive Brokers platform Experienced Trading Application with Interactive Broker(IB) , IBKR TWS, Gateway and IBKR API using Python Quantitative Tools & Libraries: Python, QuantLib, Finmath, Bloomberg API (blpapi), PyTorch, TensorFlow, NumPy, Pandas, SciPy, scikit-learn, statsmodels, Matplotlib, Seaborn, Airflow, Pinescript, analyzing real-time financial news sentiment using FinBERT, incorporating PERIGON Developing Forex/ FX Trading Application with Python in IB and Oanda. Developing quantitative models Incorporating AI/ML in stock trading

I'm from the founding team of midash.ai, an AI trading and investment platform that runs personalized AI agents, backed by Google for Startups and the Dubai International Financial Centre (DIFC). Due to increased demand in this space, we're launching customized B2B solutions and services for professionals. We'd be delighted to set up a call with me and our CEO to discuss your use case and how we can help you develop it. We deliver end to end: design, build, and deployment. You don't need your own infrastructure or DevOps team. We offer our own managed hosting, so your system goes live on infrastructure we operate and maintain, the same way we run our own platform in production. From the first architecture call to a running system, everything stays with one team. What we've already built and can build for you: - Strategy design and backtesting: we design trading strategies and test them against historical data with realistic execution modeling before any capital is at risk. - AI trading agents and analysis: LLM-driven agents that analyze market trends using fundamental and non-fundamental data (volume, short interest, news sentiment), with multi-API data pipelines feeding them. We've also built autonomous agents that take a strategy and execute it end to end, monitoring the market and acting on their own. - Broker connectivity: production-grade integrations with trading APIs (Interactive Brokers and others), with a proven blueprint for connecting to virtually any broker: order execution, historical data retrieval, real-time streaming, and account management. - Market scanners and alerts: real-time screening across large universes of instruments, with custom criteria and instant notifications. - Custom platforms: each of these exists as a battle-tested module in our platform. You're not paying us to figure it out from scratch, you're getting working blueprints and faster delivery because we've already solved these problems in production. - This is premium work: a team that operates a live fintech product, senior engineers on your project, and consulting-level judgment on architecture and approach, not a developer learning your domain on your budget. Beyond fintech, I bring 2+ years in AI/ML engineering: production web apps, AI-integrated systems, and 50+ tool integrations across platforms. If your project needs to scale, automate, or ship reliably, that's where we work best. Let's talk about what you're building.

✅ AWS Certified Machine Learning Specialist 🟢 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 🟢 7+ 𝗬𝗲𝗮𝗿 🟢 Available now 🟢 Top Rated Plus 🔴 Top 1% Talent on Upwork 🟢 𝗠𝗖𝗣, 𝗔𝟮𝗔, 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 ✅ Tech Stack & Expertise ❇️ AI & ML: Deep Learning, TensorFlow, PyTorch, Neural Networks, Generative AI, Data Science, NLP ❇️ LLM Engineering: OpenAI, ChatGPT API, LLaMA 3, Mistral, Mixtral, LoRA, QLoRA, DPO, RLHF, PEFT, Prompt Engineering, Vector DBs (Pinecone, Weaviate, FAISS), RAG Pipelines ❇️ AI Agents: AI Chatbots, Bots, Classifiers, Voice AI, TTS, STT, CrewAI, AutoGen ❇️ Agentic AI & Protocols: MCP (Model Context Protocol), A2A, OpenClaw, Claude Code, Cursor AI, Windsurf, AG-UI, Pydantic AI, Google ADK, OpenAI Agents SDK ❇️ Agent Frameworks: LangGraph, OpenAgents, Haystack, Microsoft Agent Framework, Anthropic Agent SDK ❇️ Latest Models: Claude 4.5/4.6 Opus, GPT-4o, o1/o3, Gemini 2.5 Pro, DeepSeek, LLaMA 3.3, Kimi K2.5 ❇️ AI Coding: Claude Code, Cursor IDE, Windsurf, Lovable, Replit AI, GitHub Copilot ❇️ Voice AI: Hume AI, Deepgram Nova-3, PlayHT, Bland AI, ElevenLabs Conversational AI ❇️ Python: Flask, FastAPI, Django, GPT APIs, Pytest, BeautifulSoup, Selenium ❇️ Fullstack: JavaScript, React.js, Node.js, Express.js, MongoDB ❇️ DevOps & Cloud: Docker, Kubernetes, Ansible, GitLab CI/CD, AWS, Azure, GCP, DigitalOcean ❇️ APIs: RESTful APIs, OpenAI Embeddings, Webhooks, Microservices, Stripe, Binance, Telegram, BetFair, OddsJam, Interactive Brokers 📌 Services I Offer ⚙️ Web Scraping, Data Extraction, Crawling & Mining ⚙️ ML Model Development & AI Implementation ⚙️ Deep Learning & AI Model Training ⚙️ AI Chatbots, Bots & Agent Development ⚙️ NLP, AI Classifier & Generative AI Applications ⚙️ Financial Dashboard, Market Analysis & Automation ⚙️ Interactive Brokers / Binance / Telegram Bot Development ⚙️ Data Cleaning, Processing, Analysis & Visualization ⚙️ Voice AI: Text to Speech, Speech to Text Integration ⚙️ Workflow Automation & Python-based Optimization ⚙️ MCP Server Development & Agentic AI Integration ⚙️ OpenClaw Setup, Custom Skills & Personal AI Agent Deployment ⚙️ A2A Protocol for Multi Agent Communication ⚙️ Agent Orchestration with LangGraph, CrewAI & OpenAgents ⚙️ AI Coding Agent Setup (Claude Code, Cursor, Windsurf) 🤖 LLM & AI Engineering ➜ Neural Networks, TensorFlow, PyTorch, Generative AI Apps ➜ LLM Fine-Tuning: Persona bots, Q&A, Legal/Medical NLP using LLaMA 3, Mistral ➜ Synthetic Data Generation & ML Model Training ➜ Prompt Engineering & Evaluation Pipelines ➜ OpenAI API, ChatGPT API, OpenAI Embeddings Integration ➜ Cloud AI Deployment: SkyPilot on AWS, GCP, RunPod ➜ Inference: vLLM, TGI with AWQ, GPTQ, GGUF, GGML ➜ MCP Server/Client Development, A2A Protocol, AG-UI ➜ OpenClaw Agent: Setup, AgentSkills, WhatsApp/Telegram/Slack ➜ Multi Agent Orchestration: LangGraph, CrewAI, OpenAgents ➜ Reasoning Models: OpenAI o1/o3, Claude Reasoning ➜ AI Coding Agents: Claude Code, Cursor, Windsurf 🔌 API Integration ✔️ ChatGPT API, OpenAI API & Vector Database Integration ✔️ RESTful Architecture, OAuth, Token Auth, Rate Limiting ✔️ Real-time Data, Webhooks, Cloud Functions ✔️ Scalable Microservices for AI Applications ✔️ MCP Server Development for Claude, ChatGPT & Custom AI Apps ✔️ A2A Protocol for Agent Interoperability ✔️ OpenClaw Custom Skills & Plugin Development 🧠 AI Agent & LLM Skillset Voice AI: CrewAI, AutoGen, Deepgram, Amazon Polly LLM Fine-Tuning: PEFT, LoRA, QLoRA, RLHF, DPO Tools: HuggingFace AutoTrain, Axolotl, Unsloth NLP: Prompt Engineering, RAG Pipelines, AI Classifiers GenAI: AI Chatbots, Bots, App Development, Automation Agentic Protocols: MCP, A2A, AG-UI Personal Agents: OpenClaw, Autonomous Workflow Automation Orchestration: LangGraph, OpenAgents, Pydantic AI, Google ADK AI Coding: Claude Code, Cursor, Windsurf, GitHub Copilot Models: Claude 4.5/4.6, GPT-4o, o1/o3, Gemini 2.5 Pro, DeepSeek, Kimi K2.5 💡 I build scalable AI applications, automate workflows, and develop advanced ML and Deep Learning models with seamless API integration. I deliver WEB SCRAPING, DATA MINING, and AUTOMATION solutions using Python, BeautifulSoup, Selenium, and Playwright with anti-detect browsers and proxies. For Data Science projects, I use Pandas, NumPy, Scikit-Learn, and TensorFlow. 🏆 40+ AI projects delivered. Clients see up to 60% less manual work and 3x faster processing after my AI and automation solutions. 📈 Looking for Python + AI/ML, Chatbots, AI Agents, or API Integration? Message me and let us get started. Thanks, Uttam

📩 𝗟𝗲𝘁’𝘀 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 — 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝘁𝗼𝗱𝗮𝘆. 🔹 Availability: Full-time (𝟰𝟬–𝟱𝟬 𝗵𝗿𝘀/𝘄𝗲𝗲𝗸) | Open to long-term and enterprise AI projects. 🔹 Trusted AI/ML Engineer with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 of Exp. delivering intelligent solutions for startups, SaaS 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟮% overall on StackOverflow. 🔹8+ Years of Experience as a Fullstack AI/ML Developer. 🔹 $70K+ Billing done over upwork. 🔹 5404+ Hours on Upwork | 30+ Successful Projects Delivered. 🔹 Worked with Fortune 100 Companies. 🔹 Performance-Driven, Scalable & SEO-Optimized Web Applications. 𝗜’𝗺 𝗦𝗮𝘂𝗿𝗮𝗯𝗵 𝗞𝘂𝗺𝗮𝗿, 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗔𝗜/𝗠𝗟 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 & 𝗜 𝗵𝗮𝘃𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗮𝗻𝗱 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁... 🔹 Fine Tuning: Specialized in persona writing, QnA, medical, legal using mistral, llama3 🔹 LLM Synthetic Dataset Generation 🔹 LLM Evaluation Framework 🔹 LLM Deployment: On Cloud platforms like RunAPod, AWS, GCP 🔹 AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram. 🔹 OS LLM Deployment: On AWS/GCP/RunPod using SkyPilot (vLLM/TGI) 🔹Python (Flask, Fast API, Django, GPT API, Pytest, BeautifulSoup, Selenium) 🔹 Web Scraping, Data Mining, Web Crawling, Data Parsing, Automation, Bots 🔹 Fullstack (JavaScript, MongoDB, Express.js, React, Node.js) 🔹 DevOps - Ansible, Docker, Kubernetes, GitLab CI\CD (AWS/Azure/DO/GCP). 🔹 API integration: Binance API, Telegram API, OpenAI API, BetFair API, OddsJam API, Stripe API. 🔹 API development: RESTful API, Web Services, HTTP Methods, JSON/XML, API Security, OAuth, API Documentation, API Testing, Postman, Swagger, API Gateway, Microservices, Endpoint Design 📌 𝗠𝘆 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲 📌 ⚙️ Web Scraping | Data Mining | Data Extraction ⚙️ Web Automation | Data Cleaning | Data Collection ⚙️ Crypto Trading Automation | Automate Trading Strategy ⚙️ Interactive Brokers Bot | Crypto Trading Bot | Dashboard ⚙️ Data Analysis | Data Visualization | Data Entry ⚙️ Auto Fill Web Forms (Just a click away!) ⚙️ Merge Multiple CSV Files into a Master File ⚙️ Custom Scripting for Your Specific Needs 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁: ⤵️ AI Agents, Voice Agents, CrewAI, AutoGen, Hugging Face, LLaMA 3, Mistral 7B, PEFT, LoRA, QLoRA, Prompt Engineering, RAG Pipelines, LangChain, Vector Databases, FastAPI, Flask, Django, Streamlit, Azure OpenAI, OpenAI API, vLLM, GPTQ, Trading Bots, Binance API, Telegram Bot API, Python, Selenium, Scrapy, Playwright, BeautifulSoup, Regex, REST APIs, Pandas, NumPy, Scikit-learn, PostgreSQL, Firebase, MongoDB, Data Analysis, Data Engineering 📌 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 & 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀:📌 🔹𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 / 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: CrewAI, AutoGen, Amazon Polly, Deepgram. 🔹L𝗟𝗠 𝗙𝗶𝗻𝗲𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, Hugging Face. 🔹𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝘀: LLaMA 3, Mistral 7B, Mixtral 8x7B. 🔹𝗙𝗮𝘀𝘁 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 & 𝗦𝗲𝗿𝘃𝗶𝗻𝗴: vLLM, TGI, DeepSpeed. 🔹𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: API-first architecture, Streamlit, Gradio, LangChain, CrewAI. 🔹𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Custom GPT-4 workflows, Multi-agent orchestration, vector search integration. Quantization & Optimization: AWQ, GPTQ, GGUF, GGML. I believe in creating lasting partnerships with my clients by delivering projects on time and exceeding expectations. I look forward to bringing my technical expertise and passion for software development to your project and making a meaningful impact. Thanks Saurabh Kumar

I'm a Top Rated quantitative developer on Upwork, currently completing my MS in Data Science at Harvard, with production experience building and shipping algorithmic trading systems across futures, options, and equities. My work spans the full pipeline: from signal research and rigorous backtesting through execution architecture and live broker deployment. Over the years I've collaborated with professional traders, systematic fund managers, and independent CTAs on strategy research, execution system builds, and quantitative infrastructure — working with live accounts and real capital, not toy portfolios. - Research Philosophy Most algorithmic trading research fails before it reaches live markets. The reasons are almost always the same: data snooping bias, fragile parameterization, fill simulation that doesn't reflect actual execution, and strategy logic never stress-tested against regime change. My research process is designed to make it hard to fool yourself. That means strict chronological train/test splits with no parameter bleedthrough, walk-forward optimization over anchored and rolling windows, block bootstrap for inference on autocorrelated returns, and parameter sweep frameworks built to expose fragility rather than maximize backtest metrics. A strategy that only works on one parameterization isn't a strategy, it's a coincidence. I care about robustness across parameter space, regime stability, and understanding exactly why a signal works before scaling it. I work extensively in QuantConnect's LEAN engine for research-grade backtesting and live account deployment, though deployment targets vary by strategy and client stack. IB TWS via ibapi, Tradovate, and NinjaTrader are all in regular rotation depending on execution requirements. I build custom analytics layers on top of backtest output: Sharpe decomposition, drawdown attribution, execution cost modeling, and signal decay analysis, because standard tearsheet metrics rarely tell the full story. - Strategy Coverage My research spans futures (NQ, ES), SPX and index options, ETFs, and crypto. Strategy types I've built and validated in production include intraday momentum and trend-following systems, mean reversion and stat-arb frameworks, breakout and scalp architectures with dynamic sizing tiers, options strategies including iron condors, defined-risk vertical spreads, 45-DTE and 0DTE SPX structures with delta-based hedge logic, and GEX (gamma exposure) driven directional frameworks using open-interest-weighted dealer positioning data. It's an area where the signal literature is still thin and where getting the methodology right matters more than most people acknowledge. - Execution Engineering The research-to-live gap is where most systems break. I build execution infrastructure that closes that gap: Interactive Brokers TWS via ibapi with state machine architectures, order ladder geometry, true breakeven calculations with commission and slippage factored in, and hedge math for multi-leg positions. On the NQ/ES side I've built and audited scalp bot execution logic on Tradovate, integrated Databento for professional tick data pipelines with proper validation against reference data, and developed Pine Script strategies and indicators on TradingView for signal prototyping before committing to full implementation. I'm also familiar with NinjaTrader's execution environment and ATM framework. Code I deliver is production-standard: structured logging, explicit edge-case handling, clean separation of signal and execution layers, and documented at a level where the system is maintainable after handoff. - What I Work On: - Strategy Research & Backtesting: QuantConnect/LEAN, Backtrader, Zipline, VectorBT, QuantLib, Python - Execution Systems: IB TWS/ibapi, Tradovate API, NinjaTrader, REST/WebSocket broker integrations, FIX Protocol - Retail Platform Development: MQL4/MQL5 (MetaTrader 4/5), Pine Script (TradingView), NinjaScript (NinjaTrader 8), EasyLanguage (TradeStation), ThinkScript (Thinkorswim), cAlgo/C# (cTrader), AFL (AmiBroker) - Broker APIs: Interactive Brokers, Alpaca, TD Ameritrade, Tradovate, Oanda, Databento - Crypto Platforms & APIs: Binance, Bybit, OKX, Kraken, Coinbase Advanced Trade, Bitfinex, Deribit (options/derivatives), KuCoin, Gate io, Freqtrade, Hummingbot, 3Commas, Pionex, Gunbot, ccxt (unified exchange library) - Statistical Testing: Walk-forward testing, parameter sweep analysis, Monte Carlo simulation, bootstrap inference - Full-Stack Delivery: Data ingestion → signal research → backtesting → live deployment

I develop and create websites, parsers (scrapers), bots (Telegram bots, crypto bots, social media bots), database administration and more. In my projects, I use Python programming language and Vue.js JavaScript framework for the front-end. Regarding parsers (scrapers), I can obtain any publicly available information from any web resource, whether it is online stores, trading platforms, social networks (Facebook, Instagram, X (Twitter), Reddit, YouTube, OnlyFans, or others), real estate rental and sales, betting companies, currency trading websites, stock trading, cryptocurrency trading, bonds, and much more. For these purposes, I use Python libraries such as Selenium or regular requests. To search for information in HTML markup, I use BeautifulSoup library. To increase speed, I use multithreading or asynchronous Python functions. Of course, I use proxies. I bypass protections like CloudFlare or Imperva Incapsula and solve captchas automatically, such as Google ReCaptcha v2 or v3, FunCaptcha, hCaptcha, Amazon captcha, and many others. Regarding cryptocurrency trading bot projects, I have used APIs from exchanges like Binance, Kucoin, Bybit, Mexc, Coinbase, Gate.io, and many others. This includes placing orders (market, limit, stop-loss), obtaining all necessary information from the exchange, and historical trading data for a symbol. I have tested and analysed trading strategies and applied genetic algorithms for natural selection to the developed trading model using Python library DEAP (populations, individuals, crossover, tournament selection, mutations, and elitism). This helps in finding the optimal trading strategy. I participated in creating a “bridge” between TradingView and Interactive Brokers. Signals were sent via webhooks from Trading View, and orders were placed on the trading platform using the Interactive Brokers API. For creating websites in some projects, I used Python Django framework. For creating RESTful APIs, I often use Flask or FastAPI. To handle concurrent tasks, I have also used Celery and Redis. I am proficient in Git and Docker. I set up script operations on Linux Ubuntu servers and use AWS and DigitalOcean. I professionally use SQL and databases such as PostgreSQL, MySQL, and MongoDB.

I specialize in building professional-grade algorithmic trading systems that transform strategy ideas into secure, fully automated execution infrastructure. From custom TradingView strategies to AI-enhanced crypto DEX bots, I design and deploy systems that remove emotion, enforce risk discipline, and execute with precision across global markets. I focus on reliability, performance, and long-term scalability - not hype or unrealistic promises. 📈 Custom Strategy Development & Pine Script Engineering ✔️ Developing custom indicators and algorithmic strategies in Pine Script ✔️ Converting discretionary trading logic into fully automated systems ✔️ Eliminating repainting and ensuring realistic backtesting ✔️ Advanced risk management (position sizing, trailing stops, multi-target exits) ✔️ Strategy optimization and parameter validation If you have a trading idea, I can turn it into a structured, testable, automated strategy. 🤖 Multi-Market Trade Automation Infrastructure ✔️ End-to-end automation for Stocks, Crypto, Forex, Futures, Options, and Commodities ✔️ TradingView webhook integration with major brokers and exchanges ✔️ Experience with Binance, ByBit, Kraken, MEXC, Interactive Brokers, IronBeam, Tradovate, and Indian brokers like Zerodha, UpStox, Groww, and many more ✔️ Custom execution engines in Python and Node.js ✔️ Low-latency order routing with error handling and fail-safe systems ✔️ VPS / AWS deployment for 24/7 uptime ⚙️ AI-Enhanced & Quantitative Trading Systems ✔️ Data-driven strategy research and validation ✔️ Machine learning models for signal filtering and regime detection ✔️ Statistical testing and walk-forward analysis ✔️ Adaptive parameter systems based on market conditions ✔️ Feature engineering using volatility, structure, and volume data AI is used as a validation and enhancement layer - not as a black-box promise. ⚡ Crypto DEX & On-Chain Trading Systems ✔️ Solana-based DEX execution systems ✔️ AI-assisted trading bots using on-chain liquidity and event data ✔️ Latency-sensitive execution logic for decentralized environments ✔️ Automated monitoring of liquidity shifts and large-volume transactions ✔️ Secure transaction handling and risk-controlled automation 📊 Monitoring, Data & Control Systems ✔️ Telegram & Discord bots for real-time trade alerts and PnL tracking ✔️ PostgreSQL & MongoDB trade logging systems ✔️ On-chain wallet monitoring and blockchain event tracking ✔️ Custom dashboards for analytics and manual override control Whether you need to automate a TradingView strategy, build a custom execution engine, develop an AI-enhanced trading model, or deploy a crypto DEX trading system, I deliver professional-grade infrastructure designed for precision, reliability, and performance. Let's discuss your market, broker or exchange, and strategy logic.

I’m a Full-Stack Developer and AWS Certified Cloud Specialist with 3+ years of experience building scalable, cloud-native trading systems, AI-powered agents, and financial platforms. I specialize in full-cycle development—from cloud infrastructure design to user onboarding and production launch. I’ve built 10+ full-stack applications using Lovable and Vibe Coding, two of which evolved into profitable startups with real users. 🧠 Algorithmic Trading & Financial Systems Expertise Designed & deployed infrastructures for algorithmic trading, live execution, portfolio management, and backtesting Built Pulsar, a trading platform capable of running 20,000+ backtests in parallel using Docker & AWS Trading & Broker APIs: Binance, KuCoin, Bybit, Bitget, OKX, Coinbase, Kraken, Alpaca, TD Ameritrade, Robinhood, Interactive Brokers, Tradier, E*TRADE, CCXT, CoinGecko, CoinMarketCap, Polygon.io, TradingView (Webhook/API) 🤖 AI Agent Development & Automation I create intelligent, production-ready agents using OpenAI, LangChain, and Google AI Agent Toolkit. Built agents for: Crypto Agent – live trading, market scanning, and portfolio rebalancing Crypto News Feed Agent – aggregates & summarizes real-time news into actionable signals Task Management Agent – automates reporting, deadlines, and reminders Sales Agent – lead qualification, customer insights, and follow-up automation Analyzer Agent – financial analysis, KPI monitoring, and custom workflows Parallel Workflow Orchestration – coordinating multiple agents for scalable operations Voice + LLM integrations: OpenAI GPT, Whisper, ElevenLabs, AWS Polly, AWS Transcribe 🧩 Full-Stack App Development – End-to-End Containerized microservices with Docker + AWS + CI/CD Built APIs, dashboards, reporting tools, and real-time data pipelines Integrated payments, strategy labs, and user onboarding flows Delivered 10+ apps with Lovable & Vibe Coding — 4 grew into revenue-generating startups 🛠️ Tech Stack Backend: Python, Flask, Django, FastAPI, Node.js, Ruby on Rails Frontend: React, Ember.js, TypeScript, JavaScript, HTML, CSS Databases: PostgreSQL, MongoDB, DynamoDB, MySQL, SQLite Cloud & Infra: AWS (Lambda, S3, EC2, IAM, etc.), Docker, Git, CI/CD, Heroku, Firebase, Supabase 🏆 Proven Upwork Track Record ✅ Top Rated | 💯 100% Job Success | 25+ Projects | 200+ Milestones Delivered 🎓 AWS Certifications AWS Certified Security – Specialty (SCS-C02) – 2024 AWS Certified Data Engineer – Associate (DEA-C01) – 2024 AWS Certified Solutions Architect – Associate (SAA-C03) – 2023 Key Strengths ✅ Algorithmic Trading (Crypto, Stock, Forex) ✅ AI Agent Development (Trading, Task, Sales, Analytics, Workflows) ✅ Financial API Integration ✅ End-to-End Product Development & Launch ✅ AWS Cloud & Serverless Architecture ✅ Real-time Analytics & Automation Systems 📬 Looking to turn your product idea into a high-performance, market-ready app or AI agent? Let’s make it happen.